{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2JO53HQGKZGULN7HVBHV6J5JAN","short_pith_number":"pith:2JO53HQG","canonical_record":{"source":{"id":"2605.23109","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-22T00:05:36Z","cross_cats_sorted":["cs.DC","cs.LO","cs.PL"],"title_canon_sha256":"c0a073ca8a4d45b6da332ae083966135af04e8fe41683d4c3dcc0abb5eb1aba1","abstract_canon_sha256":"16ec5ebc0569807688b1b4140a1ed714d4bdb70464da8e1e56476011654e6fab"},"schema_version":"1.0"},"canonical_sha256":"d25ddd9e06564d45b7e7a84f5f27a90367b3d6bc9211a7ce4b70a8f473ca7cf6","source":{"kind":"arxiv","id":"2605.23109","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23109","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23109v1","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23109","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"pith_short_12","alias_value":"2JO53HQGKZGU","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"pith_short_16","alias_value":"2JO53HQGKZGULN7H","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"pith_short_8","alias_value":"2JO53HQG","created_at":"2026-05-25T02:01:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2JO53HQGKZGULN7HVBHV6J5JAN","target":"record","payload":{"canonical_record":{"source":{"id":"2605.23109","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-22T00:05:36Z","cross_cats_sorted":["cs.DC","cs.LO","cs.PL"],"title_canon_sha256":"c0a073ca8a4d45b6da332ae083966135af04e8fe41683d4c3dcc0abb5eb1aba1","abstract_canon_sha256":"16ec5ebc0569807688b1b4140a1ed714d4bdb70464da8e1e56476011654e6fab"},"schema_version":"1.0"},"canonical_sha256":"d25ddd9e06564d45b7e7a84f5f27a90367b3d6bc9211a7ce4b70a8f473ca7cf6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:38.936303Z","signature_b64":"Plg9sUzo79de4IOS5OzXIxiB0vEoOvPE9DEGB8LIeYtYgAAFXBX7oDIh1S4ST58QzSn0VNjhTQJ6HWORKLlzAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d25ddd9e06564d45b7e7a84f5f27a90367b3d6bc9211a7ce4b70a8f473ca7cf6","last_reissued_at":"2026-05-25T02:01:38.935602Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:38.935602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.23109","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:01:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yOXGONhzM3ovzKoE2FQxech76/7L+PcIrRvsRIBte1B86z6rHUwB12LxRIcOSK9vwmwlgU4dSKIHULttNlzzDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T17:48:34.425532Z"},"content_sha256":"c679eb9f8fe3e4b909c28f002ed5f210844bf4693811d99ea8f3bd0d7f82376b","schema_version":"1.0","event_id":"sha256:c679eb9f8fe3e4b909c28f002ed5f210844bf4693811d99ea8f3bd0d7f82376b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2JO53HQGKZGULN7HVBHV6J5JAN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DC","cs.LO","cs.PL"],"primary_cat":"cs.AI","authors_text":"Aditya Parameswaran, Alexander Krentsel, Audrey Cheng, Chun-Liang Li, Ion Stoica, Matei Zaharia, Mert Cemri, Mohsen Lesani, Rui Meng, Shubham Agarwal, Shu Liu, Sylvia Ratnasamy, Tomas Pfister","submitted_at":"2026-05-22T00:05:36Z","abstract_excerpt":"AI agents increasingly excel at generating, testing, and refining code. However, they fall short on tasks requiring formal guarantees of full coverage that testing alone cannot provide. Distributed systems are a prime example: properties such as consistency between reads and writes must hold under every possible interleaving of events. Mechanized formal verification can guarantee such correctness, but typically demands months to years of expert effort. As evidence, even SOTA coding agents (Codex with GPT-5.4 and Claude Code with Opus 4.6) succeed on only 2/7 distributed key-value-store specifi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23109","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.23109/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:01:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jmk2Mq7vO8L2fMyEPXh3fprjKORN6r+bgPaY9eg9CanYxLR1fJSc0u3YejkIiH083IDTlwy1beeSQrnt9QEyDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T17:48:34.426360Z"},"content_sha256":"161e68e42938392840db251d38a94f0c7184597ca36f72773875b03c07f7d10f","schema_version":"1.0","event_id":"sha256:161e68e42938392840db251d38a94f0c7184597ca36f72773875b03c07f7d10f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2JO53HQGKZGULN7HVBHV6J5JAN/bundle.json","state_url":"https://pith.science/pith/2JO53HQGKZGULN7HVBHV6J5JAN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2JO53HQGKZGULN7HVBHV6J5JAN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-29T17:48:34Z","links":{"resolver":"https://pith.science/pith/2JO53HQGKZGULN7HVBHV6J5JAN","bundle":"https://pith.science/pith/2JO53HQGKZGULN7HVBHV6J5JAN/bundle.json","state":"https://pith.science/pith/2JO53HQGKZGULN7HVBHV6J5JAN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2JO53HQGKZGULN7HVBHV6J5JAN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2JO53HQGKZGULN7HVBHV6J5JAN","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"16ec5ebc0569807688b1b4140a1ed714d4bdb70464da8e1e56476011654e6fab","cross_cats_sorted":["cs.DC","cs.LO","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-22T00:05:36Z","title_canon_sha256":"c0a073ca8a4d45b6da332ae083966135af04e8fe41683d4c3dcc0abb5eb1aba1"},"schema_version":"1.0","source":{"id":"2605.23109","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23109","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23109v1","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23109","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"pith_short_12","alias_value":"2JO53HQGKZGU","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"pith_short_16","alias_value":"2JO53HQGKZGULN7H","created_at":"2026-05-25T02:01:38Z"},{"alias_kind":"pith_short_8","alias_value":"2JO53HQG","created_at":"2026-05-25T02:01:38Z"}],"graph_snapshots":[{"event_id":"sha256:161e68e42938392840db251d38a94f0c7184597ca36f72773875b03c07f7d10f","target":"graph","created_at":"2026-05-25T02:01:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.23109/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI agents increasingly excel at generating, testing, and refining code. However, they fall short on tasks requiring formal guarantees of full coverage that testing alone cannot provide. Distributed systems are a prime example: properties such as consistency between reads and writes must hold under every possible interleaving of events. Mechanized formal verification can guarantee such correctness, but typically demands months to years of expert effort. As evidence, even SOTA coding agents (Codex with GPT-5.4 and Claude Code with Opus 4.6) succeed on only 2/7 distributed key-value-store specifi","authors_text":"Aditya Parameswaran, Alexander Krentsel, Audrey Cheng, Chun-Liang Li, Ion Stoica, Matei Zaharia, Mert Cemri, Mohsen Lesani, Rui Meng, Shubham Agarwal, Shu Liu, Sylvia Ratnasamy, Tomas Pfister","cross_cats":["cs.DC","cs.LO","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-22T00:05:36Z","title":"Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23109","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c679eb9f8fe3e4b909c28f002ed5f210844bf4693811d99ea8f3bd0d7f82376b","target":"record","created_at":"2026-05-25T02:01:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"16ec5ebc0569807688b1b4140a1ed714d4bdb70464da8e1e56476011654e6fab","cross_cats_sorted":["cs.DC","cs.LO","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-22T00:05:36Z","title_canon_sha256":"c0a073ca8a4d45b6da332ae083966135af04e8fe41683d4c3dcc0abb5eb1aba1"},"schema_version":"1.0","source":{"id":"2605.23109","kind":"arxiv","version":1}},"canonical_sha256":"d25ddd9e06564d45b7e7a84f5f27a90367b3d6bc9211a7ce4b70a8f473ca7cf6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d25ddd9e06564d45b7e7a84f5f27a90367b3d6bc9211a7ce4b70a8f473ca7cf6","first_computed_at":"2026-05-25T02:01:38.935602Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:38.935602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Plg9sUzo79de4IOS5OzXIxiB0vEoOvPE9DEGB8LIeYtYgAAFXBX7oDIh1S4ST58QzSn0VNjhTQJ6HWORKLlzAQ==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:38.936303Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23109","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c679eb9f8fe3e4b909c28f002ed5f210844bf4693811d99ea8f3bd0d7f82376b","sha256:161e68e42938392840db251d38a94f0c7184597ca36f72773875b03c07f7d10f"],"state_sha256":"f0b6bb754302b15d73e62d5b4305718f921cf1f1677ca32bb55a08a77f99deb3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iJT+DO3Y0ubJsy7mFY/w1N33Dm++6fDzREGns3CPXeCyTv3T+qkSccHaVb4epAHAlIXGA358mK7zEclYkzOzDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T17:48:34.430440Z","bundle_sha256":"cbee1b524b86d997d4365735ad71ab0f1f6d6c602fc9f6aef7ba07e3bcb92195"}}